Ken Umeno
Impact in
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- Chaos control and synchronization
- Quantum chaos and dynamical systems
- Finance top 10%
Papers in
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- Chaos control and synchronization 20
- Quantum chaos and dynamical systems 12
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- Coding theory and cryptography 8
- Co-authors
- E. Biglieri (3 shared papers)K. Yao (2 shared papers)Atsushi Iwasaki (5 shared papers)Tetsuo Ono (5 shared papers)Takashi Araki (1 shared paper)Kazunobu Matsushita (1 shared paper)Ken‐ichi Kitayama (1 shared paper)Akira Tsujino (1 shared paper)
- Journals
- Neuroscience (3 papers)Progress of Theoretical and Experimental Physics (3 papers)Journal of the Physical Society of Japan (2 papers)Electronics Letters (2 papers)Hippocampus (2 papers)
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Ken Umeno
67 papers receiving 613 citations
Peers
Comparison fields: 5 of 96
- Statistical and Nonlinear Physics 204
- Finance 74
- Mathematical Physics 50
- Economics and Econometrics 151
- Computer Networks and Communications 111
Countries citing papers authored by Ken Umeno
This map shows the geographic impact of Ken Umeno's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ken Umeno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Umeno more than expected).
Fields of papers citing papers by Ken Umeno
This network shows the impact of papers produced by Ken Umeno. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ken Umeno. The network helps show where Ken Umeno may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Umeno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 80 | |
| 2 | 2001 | 65 | |
| 3 | 1997 | 45 | |
| 4 | 1981 | 45 | |
| 5 | 2017 | 25 | |
| 6 | 2022 | 24 | |
| 7 | 1998 | 23 | |
| 8 | 2021 | 22 | |
| 9 | 2008 | 20 | |
| 10 | 1999 | 18 | |
| 11 | 2000 | 17 | |
| 12 | 2006 | 16 | |
| 13 | 2017 | 15 | |
| 14 | 2018 | 14 | |
| 15 | 2016 | 14 | |
| 16 | 2008 | 12 | |
| 17 | 2008 | 11 | |
| 18 | 2003 | 9 | |
| 19 | 2003 | 9 | |
| 20 | 2013 | 9 |
About Ken Umeno
Ken Umeno is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Computer Networks and Communications, Mathematical Physics and Electrical and Electronic Engineering, having authored 75 papers that have together received 638 indexed citations. Recurring topics across this work include Chaos control and synchronization (20 papers), Quantum chaos and dynamical systems (12 papers), Wireless Communication Networks Research (11 papers), Mathematical Dynamics and Fractals (10 papers), Complex Systems and Time Series Analysis (9 papers), Coding theory and cryptography (8 papers), Cellular Automata and Applications (8 papers) and Advanced Wireless Communication Techniques (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (204 citations), Finance (74 citations), Mathematical Physics (50 citations), Economics and Econometrics (151 citations) and Computer Networks and Communications (111 citations). Ken Umeno has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include E. Biglieri, K. Yao, Atsushi Iwasaki, Tetsuo Ono, Takashi Araki, Kazunobu Matsushita, Ken‐ichi Kitayama, Akira Tsujino, Hisao Nishijo and K. Okubo. Their work appears in journals such as Neuroscience, Progress of Theoretical and Experimental Physics, Journal of the Physical Society of Japan, Electronics Letters and Hippocampus.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.